A drowsy driver detection system for heavy vehicles

Subscribers can view annotate, and download all of SAE's content. Learn More ». View Details. Browse Publications Technical Papers Citation: Grace, R. Commercial motor vehicle truck drivers were studied in actual fleet operations. The drivers operated vehicles that were equipped to measure vehicle performance and driver psychophysiological data. Based on this work, two drowsiness detection methods are being considered.

The first is a video-based system that measures PERCLOS, a scientifically supported measure of drowsiness associated with slow eye closure. A non-parametric neural network model was used to estimate PERCLOS using measures associated with lane keeping, steering wheel movements and lateral acceleration of the vehicle. A drowsy driver detection system for heavy vehicles Richard Grace, V.

Byrne, D. Bierman, J. Use of this web site signifies your agreement to the terms and conditions. Drowsy driver detection methods can form the basis of a system to potentially reduce accidents related to drowsy driving. We report on efforts performed at the Carnegie Mellon Driving Research Center to develop such in vehicle driver monitoring systems. Commercial motor vehicle truck drivers were studied in actual fleet operations.

The drivers operated vehicles that were equipped to measure vehicle performance and driver psychophysiological data.